Open AccessA quantitative approach to data‐collection strategies
Author(s) -
Bourenkov Gleb P.,
Popov Alexander N.
Publication year - 2006
Publication title -
acta crystallographica section d
Language(s) - English
Resource type - Journals
ISSN - 1399-0047
DOI - 10.1107/s0907444905033998
Subject(s) - diffraction , redundancy (engineering) , data set , data redundancy , oscillation (cell signaling) , experimental data , data mining , computer science , set (abstract data type) , resolution (logic) , radiation , statistics , data collection , statistical physics , optics , mathematics , physics , artificial intelligence , chemistry , biochemistry , programming language , operating system
Statistical descriptors of the X‐ray diffraction data set for a macromolecular crystal can be modelled using the information present in the initial diffraction images. Quantitative relationships between the crystal quality, beam apertures, oscillation width, resolution limit, redundancy and the data statistics are presented. They are analysed in terms of the radiation‐dose requirements based on modelling in program the BEST . The influence of radiation damage on the data statistics is discussed.